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The True Layer Thickness tool kit provides objective measurement data to inspect every build in real time.
Researchers developed a machine learning framework for identifying flaws in 3D printed products using sensor data gathered simultaneously with production, saving time and money while maintaining comparable accuracy to traditional post-inspection. The approach, developed in partnership with aerospace and defense company RTX, utilizes a machine learning algorithm trained on CT scans to identify flaws in printed products.
Additive manufacturing via binder jetting includes a sequence of downstream steps. During a visit to the Pennsylvania metal 3D printing part producer, I had the chance to walk through this process.
The particle sensor measures the size, speed and trajectory of particles in liquids and gases.
Company says 3D printing in-situ inspection system detects defects in real-time, enabling users to fully monitor additive manufacturing operations for both laser powder bed fusion (LPBF) and binder jetting processes.
The event is designed to offer a unique opportunity to gain new, interesting insights and exchange ideas with industry experts from all over the world.
Rapid Robotics helps manufacturers get up and running with automation quickly, by providing robots that arrive pretrained and already equipped with tooling which is often 3D printed.
The design freedom possible with laser powder bed fusion (LPBF) metal 3D printing is making it faster and easier to produce complex anticavitation devices for valves.
With the combined APSX-PIM and Nexa3D technologies, users can seamlessly transition from 3D printing prototypes to injection-molded production parts, all within a single, integrated ecosystem.
Nikon aims to strengthen its X-ray digital inspection solutions by combining its rotating target X-ray sources and proven software with Axonix Imaging’s expertise in the design of configurable systems, controls and product handling.